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Analysis of dynamic social network: e-mail messages exchange network

Published: 14 December 2009 Publication History

Abstract

Counting entropy of social networks is used to study the dynamic of such networks. It depends on counting the number of cycles in the network, which is an NP problem. In this work we used a polynomial time approximation algorithm to count the number of cycles in an undirected graph that is based on regression and on a statistical mechanics approach. We used this approximation algorithm to analysis the dynamicity of a virtual social network, E-mail Messages Exchange Network (EMEN) where nodes and edges appear and disappear through time. We analyze the exact and approximated cyclic entropy variation with time as a function of the number of nodes and edges in the network. The purpose is to establish the robustness of the network. In addition, we study the effect of weighed links (number of interactions between users) on the analysis of such graphs.

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cover image ACM Other conferences
iiWAS '09: Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
December 2009
763 pages
ISBN:9781605586601
DOI:10.1145/1806338
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Johannes Kepler University

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Association for Computing Machinery

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Published: 14 December 2009

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Author Tags

  1. cycles
  2. cyclic entropy
  3. directed
  4. email analysis
  5. graphs
  6. undirected

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